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EVALUATION OF SELF CONSOLIDATING CONCRETE AND CLASS IV CONCRETE FLOW IN DRILLED SHAFTS PART 1 BDV25 TWO977-25 Task 3 Deliverable Corrosion Potential Evaluations Submitted to The Florida Department of Transportation Research Center 605 Suwannee Street, MS30 Tallahassee, FL 32399 [email protected] Submitted by Sarah J. Mobley, P.E., Doctoral Candidate Kelly M. Costello, E.I., Doctoral Candidate and Principal Investigators Gray Mullins, Ph.D., P.E., Professor, PI Abla Zayed, Ph.D., Professor, Co-PI Department of Civil and Environmental Engineering University of South Florida 4202 E. Fowler Avenue, ENB 118 Tampa, FL 33620 (813) 974-5845 [email protected] July, 2017 to December, 2017

Transcript of EVALUATION OF SELF CONSOLIDATING CONCRETE AND …geotech.eng.usf.edu/Downloads/2018-0124_Return...

  • EVALUATION OF SELF CONSOLIDATING CONCRETE AND CLASS IV

    CONCRETE FLOW IN DRILLED SHAFTS – PART 1

    BDV25 TWO977-25

    Task 3 Deliverable – Corrosion Potential Evaluations

    Submitted to

    The Florida Department of Transportation

    Research Center

    605 Suwannee Street, MS30

    Tallahassee, FL 32399

    [email protected]

    Submitted by

    Sarah J. Mobley, P.E., Doctoral Candidate

    Kelly M. Costello, E.I., Doctoral Candidate

    and

    Principal Investigators

    Gray Mullins, Ph.D., P.E., Professor, PI

    Abla Zayed, Ph.D., Professor, Co-PI

    Department of Civil and Environmental Engineering

    University of South Florida

    4202 E. Fowler Avenue, ENB 118

    Tampa, FL 33620

    (813) 974-5845

    [email protected]

    July, 2017 to December, 2017

    mailto:[email protected]:[email protected]

  • Preface

    This deliverable is submitted in partial fulfillment of the requirements set forth and agreed upon

    at the onset of the project and indicates a degree of completion. It also serves as an interim report

    of the research progress and findings as they pertain to the individual task-based goals that

    comprise the overall project scope. Herein, the FDOT project manager’s approval and guidance

    are sought regarding the applicability of the intermediate research findings and the subsequent

    research direction. The project tasks, as outlined in the scope of services, are presented below.

    The subject of the present report is highlighted in bold.

    Task 1. Literature Review (pages 3-90)

    Task 2a. Exploratory Evaluation of Previously Cast Lab Shaft Specimens (page 91-287)

    Task 2b. Field Exploratory Evaluation of Existing Bridges with Drilled Shaft Foundations

    Task 3. Corrosion Potential Evaluations

    Task 4. Porosity and Hydration Products Determinations

    Task 5. Rheology Modeling and Testing

    Task 6. Effects of Construction Approach

    Task 7. Reporting: Draft and Final Report

    The proposed study will culminate with a comprehensive final report describing all aspects of the

    study. This interim report is also intended to serve as a living draft of what will ultimately be the

    final report. As such, all previously submitted interim reports to date will be included for

    completeness (in greyed-out font) but may contain changes based on any new findings; this is

    especially applicable to the Literature Review component.

    In looking forward to the final document, the updated corrosion related information from the

    Task 2a submittal has been included in this submittal.

  • 344

    5 Chapter Five: Corrosion Potent ial Evaluat ions (Task 3 Del iverable)

    Corrosion is most often defined as the destruction of a metallic material due to a reaction with its

    environment. Practically all environments are corrosive to some degree, but this research focuses

    on corrosion in wet environments. Uniform corrosion in wet environments accounts for a large

    majority of all corrosion and usually involves aqueous solutions or electrolytes. Uniform

    corrosion is characterized by a chemical or electrochemical reaction that occurs over a large area.

    This reaction thins the metal to a point of eventual failure. Overall, corrosion represents the

    greatest destruction of metal on a tonnage basis, but this does not raise major industry concerns

    because uniform corrosion is both predictable and preventable in most instances (Fontana, 1967).

    While corrosion resistance is often dictated by concrete quality and cover thickness, the presence

    of possible pathways leading directly to the reinforcing steel is of great importance, yet rarely

    addressed in design. This Task focuses on the electrochemical properties of 36 lab-cast drilled

    shaft specimens constructed over a four-year period.

    The approach was multifaceted: (1) establish electrical continuity in the reinforcement system,

    (2) conduct surface potential measurements, and (3) assess the potential over time while

    exposing the shaft surface to a chloride solution.

    5.1 Corrosion Rate Expressions

    Corrosion rates have been expressed by several means throughout literature, such as milligrams

    per square centimeter per day, grams per square inch per hour and percent weight loss. None of

    these give any indication of penetration. Mils per year (mpy) is the expression most commonly

    used in engineering to illustrate the rate in terms of weight loss or thinning of a structural piece.

    The formula is as follows:

    𝑚𝑝𝑦 =534𝑊

    𝐷𝐴𝑇

    where W weight loss (g)

    D density of specimen (g/cm3)

    A area of specimen (in2)

    T exposure time (hr)

    This expression uses whole numbers, which are easily handled and it can be used to predict the

    lifespan of a given structural component.

    5.2 Corrosion Lifespan Analysis

    To remain active, the corrosion process requires oxygen, moisture, and a conductive electrolyte.

    Commonly, this electrolyte is saltwater, which leads to chloride-induced corrosion (sulfates can

  • 345

    also induce corrosion but the effect is comparatively insignificant when chlorides are present). If

    one of the three corrosion components is absent, the chemical reaction will stall until all elements

    are present. Consequently, the serviceability of a drilled shaft and the resultant life expectancy is

    dependent on the surrounding environment, isolation (concrete cover thickness), concrete

    quality, and the ability of the encased reinforcement to withstand aggressive environments.

    These parameters can be defined as:

    𝐶𝑠 Concentration of chloride ions at the concrete surface (environment)

    𝑥𝑐𝑜𝑣𝑒𝑟 Concrete cover (isolation) D Apparent diffusion coefficient (concrete quality)

    𝐶𝑇 Chloride threshold at which corrosion initiates (steel type dependent)

    The amount of cementitious material in the concrete mix design, known as the cement factor

    (CF), should also be included, along with the presence of any cracks. For the case of drilled

    shafts, mattressing, or channeling as described in Chapter 2, should also be considered.

    In a salt water environment, chlorides accumulate on the surface of a structure. As previously

    stated, the corrosion process requires that chlorides, moisture, and oxygen be present at the steel

    surface. When a structure is new, chlorides must diffuse through the concrete cover to reach the

    surface of the steel. This diffusion time can be calculated using the parameters defined above

    (Sagüés, 2002; Mullins, et al, 2009). The time that it takes for the chloride concentration to reach

    a threshold value at the concrete-steel interface, after which corrosion begins to occur, is known

    as the corrosion initiation time (𝑡𝑖), and it represents the most critical designable aspect of corrosion control. Once corrosion begins, corrosion products begin forming on the surface of the

    reinforcing steel, increasing the volume since the reaction products have a larger total volume

    than the reactants. This volume increase can initiate cracking that may propagate to the concrete

    surface and compromise the integrity of the structural element.

    The traditional school of thought assumes that structures in a fully submerged environment are

    sufficiently separated from an oxygen source as to prohibit corrosion, recent studies have shown

    that this is not always the case and that under water structures can show signs of highly localized

    corrosive behavior (Walsh, 2016). Conservatively and for the sake of simplicity, the corrosion

    free life expectancy of all reinforced concrete structures can be simply determined using 𝒕𝑖.

    5.2.1 Corrosion Initiation Time

    The corrosion initiation time is commonly computed using an error function wherein Cs, xcover,

    D, and CT are all inputs.

    𝐶𝑇 = 𝐶𝑠(1 − 𝑒𝑟𝑓𝑥

    2√𝐷𝑡𝑖)

  • 346

    A convenient method of solving for ti is to plot the function, with the ratio CT/Cs (dimensionless)

    on the y-axis and reading down to determine the x-axis value. The x-axis is expressed in the

    following form:

    𝑥 − 𝑎𝑥𝑖𝑠 𝑣𝑎𝑙𝑢𝑒 = 𝑡𝑖4𝐷/𝑥2

    5.2.2 Chloride Threshold

    Chloride threshold (CT) for a plain steel rebar can be approximated to be 0.004 times the Cement

    Factor (Sagüés, 2002). For a typical drilled shaft concrete mix design, there is a minimum of

    600pcy of cementitious material (CF=600), which results in the following calculation for the

    chloride ion concentration needed to initiate corrosion at the surface of the steel:

    CT=0.004(600)=2.4pcy

    5.2.3 Surface Chloride Concentration

    The driving force for chloride diffusion into the concrete is dictated by the chloride concentration

    at the concrete surface, Cs. For a soil with a chloride content of 1200 ppm (2.0pcy) the CT/Cs

    ratio would be greater than one, which is out of the range of the chart (Figure 2.24) and therefore

    non-corrosive. When the CT/Cs is that high, the 𝑡𝑖4𝐷/𝑥2 expression can be conservatively

    assumed to be 100.

    5.2.4 Apparent Diffusion Coefficient

    Laboratory studies have shown that the apparent diffusion coefficient (D) for concrete mixes

    containing fly ash ranges from 1x10-8

    cm/s to 7x10-8

    cm/s with an average value of 2x10-8

    cm/s

    (Sagüés, 2002). Assuming worst case scenario values of D=1x10-8

    cm/s and a concrete cover of

    7.5 cm (3 in), the resulting time to initial corrosion works out to be 450 years. This is well

    outside of the anticipated design life of a structure (50-100 years.) This value corresponds to dry

    structures with mild soil conditions. Placing the structure in a salt water marine environment

    reduces the CT/Cs value to 0.1, which results in an initiation time of 16 years for 3 inches of

    cover. If the cover thickness were doubled to 6 inches, the initiation time would be resultantly

    quadrupled to 64 years.

    5.3 Anomalies and Corrosion Potential

    Design lifespan computations assume a contiguous concrete cover. As noted in Chapter 3, field

    and laboratory observations have shown reflective quilting (laitance channel formation) in shaft

    specimens constructed in wet conditions, where concrete is placed as a slurry using a tremie.

    Quilting introduces the possibility of direct ground or sea water access to the reinforcing cage,

    thus negating the afforded protection that the above calculations represent, along with the

    calculations themselves. This in essence results in a zero cover thickness. Identifying the effects

    of quilting or other surface anomalies forms the basis for much of the efforts in this Task.

  • 347

    5.4 Establishing Electrical Continuity

    Corrosion in reinforced concrete is electrochemical in nature. The corrosion process involves the

    flow of electrons from an anodic site to a cathodic site on the reinforcing steel system. Corrosion

    requires four basic elements: anode, cathode, electrolyte and metallic path. The anode is the site

    of the corrosion and constitutes the source of current flow. The cathode is corrosion free and

    receives the flow of current. The electrolyte is a medium capable of conducting electrical current.

    In reinforced concrete, the fluid filled pores serve as the electrolyte. The metallic path is the

    connection between the anode and the cathode which allows the return of current. In the simplest

    terms, cathodic protection is the process of converting anodic sites to cathodic sites through the

    application of applied current. Establishing a metallic path, hereafter referred to as electrical

    continuity as per industry nomenclature, is essential to this process.

    Many organizations published cathodic protection installation guidelines that state electrical

    continuity must exist. However, specifications regarding a procedure to establish continuity are

    vague, varied, or non-existent. Literature suggests that continuity guidelines roughly fall into two

    general categories: undefined and poorly defined. Undefined guidelines state that continuity is

    required without referencing a procedure (Sagues, 1995; NACE,2007; NACE, 2016). Poorly

    defined guidelines require that continuity be established through the testing of electric potential

    (SIKA, 2010; DTI, 1981; Kentucky, 2011; Clear, 1993). This test makes voltage measurements

    between two rebar in an effort to assess the electrical connectivity and where a 1mV threshold is

    used to delineate when connectivity exists (or not). Mutual resistance is a similar test but where a

    1Ohm threshold is used.

    The Strategic Highway Research Program published the New Cathodic Protection Installation

    guide (Clear, 1993), which references an AASHTO standard that was still in draft form

    (AASHTO, 1994). The referenced specification was mislabeled by Clear as AASHTO TF29-

    650.37 as it was only a draft and an incomplete document. Today it can only be found in

    AASHTO TF29-650.30.15 from the published Task Force 29 report, Guide to Specifications for

    Cathodic Protection of Concrete Bridge Decks. This volume, currently out of print, established

    the following requirements for electrical continuity: “Electrical continuity exists between

    reinforcing bars or between reinforcing bars and other metal items when the millivolt difference

    between them is no more than 1.0 mV, the DC resistance is less than 1 ohm and the DC

    resistance measured in the forward and reverse directions does not exceed 1 ohm,” (AASHTO,

    1994). Though Clear states that the AASHTO procedure was utilized to establish electrical

    continuity, no indication was given where resistance measurements were taken, and relied on

    millivolt data to support assertions of continuity. Nevertheless, Clear (1993) may be the only

    work that cites the AASHTO recommended procedure.

    This inconsistency in specifications creates uncertainty regarding a satisfactory practice.

    Further, few procedures have been established, and there are no justifications given for a

    particular practice (e.g. the rationale for less than 1mV potential difference). This section

    describes results of an extensive series of experiments that were performed to determine the

    statistical validity of methods used to establish electrical continuity and provide justification for

    implementation of a common practice.

  • 348

    5.4.1 Experimental Approach

    Mutual potential and mutual resistance tests were performed on all vertical reinforcements for

    each of twenty-three, 42-in. diameter, 24-in. tall simulated drilled shaft specimens. Each

    specimen included seven vertical steel reinforcing bars (rebar) connected with horizontal

    stirrups encased in concrete (Figure 5.1). Prior to testing, the exposed end of each vertical

    rebar was drilled, tapped, and a stainless-steel screw was installed to establish a satisfactory

    electrical connection (Figure 5.2). The rebar on each shaft were labeled and testing was

    completed between all bar combinations (21 combinations per shaft).

    Figure 5.1 Reinforcement cage prior to concrete placement (left) Completed shaft specimen

    (right).

    Figure 5.2 Stainless steel connection.

    Mutual potential was measured using a standard multimeter on the 2000mV setting, and where

    the positive and negative leads were connected to two different rebar. This wiring arrangement causes

  • 349

    one rebar to serve as a working electrode and the other to serve as a reference electrode, the

    reading on the multimeter is the difference in potential between the two connection points.

    Mutual resistance was measured using a Nilsson meter. A Nilsson meter is a four pin,

    alternating current, null balancing ohmmeter customarily used to measure resistivity in soils. For

    the purpose of this test, the meter was used in a two-pin configuration (Figure 5.3), where

    once again the two leads were attached to different rebar for all 21 combinations per specimen.

    The Nilsson meter works by generating a low voltage current between the C1 and C2 posts.

    Figure 5.3 Nilsson meter two pin configuration.

    The detector senses a voltage drop between the two posts, compares it to internal resistors, and

    indicates a difference on the null detector. When the null detector is balanced using the range

    switch and the dial, the resistance in ohms is the dial reading multiplied by the range switch

    position. This method was chosen over DC resistance because of the increased

    stability provided in the presence of an electrolyte. Mutual potential and mutual

    resistance tests were conducted in immediate succession to ensure similarity in testing

    conditions (Figure 5.4).

    Figure 5.4 Mutual potential/ mutual resistance wiring diagram.

  • 350

    The resistance that occurs when two sections of rebar have a passive connection was used as the

    threshold for continuity. In order to determine this, one section of rebar was laid on top of

    another on an inert surface. The amount of overhang was kept at 4 inches to keep the force

    between the bars consistent. Hose clamps were used to establish a connection port on each bar

    and then alligator clips were used to connect those ports to the positive and negative inputs on a

    DC multimeter (Figure 5.5). A total of 30 DC resistance readings were taken at varied locations

    along the bottom rebar. The absence of an electrolyte permitted the use of DC resistance.

    Figure 5.5 Rebar to rebar resistance wiring diagram.

    The passive rebar to rebar DC resistance readings varied from 0 to 96 Ω. A median resistance

    of 29 Ω was determined using a standard distribution curve (Figure 5.6). When determining a

    realistic resistance threshold, it is critical to consider the number of rebar connections between

    the test points as this will affect the upper limit substantially. The baseline used in this study is

    conservatively set at 100 Ω because the potential readings below 100 Ω are consistently banded

    within the threshold for connectivity and the highest passive rebar to rebar resistance is below

    100 Ω.

    Figure 5.6 The mutual potential versus mutual resistance graph.

    Figure 5.7shows 483 data points from 21 resistance and 21 potential measurements for 23

    subject shafts. The shafts are numbered according to the date of construction with a

    parenthetical reference to the slurry type (B for bentonite, P for polymer, W for water) and

    Marsh funnel viscosity. The graph displays distinct banding on both the horizontal and

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    0 20 40 60 80 100

    Per

    cent

    Dis

    trib

    uti

    on (

    %)

    Resistance (W)

  • 351

    vertical axis. The potential values for data points with a resistance of less than 100Ω are

    within 5mV of the zero excluding four outliers. Above 100Ω the potential values form a

    vertical band between zero and 135mV.

    Figure 5.7: Mutual potential vs mutual resistance

    When the mutual potential is graphed against the mutual resistance, the data is banded along

    the zero-millivolt potential line horizontally and above 100-Ω the data is banded vertically. The

    data points scattered along the potential axis between zero and five are indicative of a well-

    connected system as this reading reflects a negligible potential difference. The data points above

    five millivolts that are also above 100 Ω would generally indicate a poorly connected system as

    they exceed the inherent resistance between two pieces of reinforcing steel and exhibit a loss in

    potential across the system. The points of particular interest are the points positioned at the base

    of the vertical band in the data (Figure 5.8). These points have a resistance over 100-Ω but show

    negligible loss of potential.

    0

    20

    40

    60

    80

    100

    120

    140

    0.1 1 10 100 1000 10000

    |Po

    ten

    tia

    l| (

    mV

    )

    Resistance (Ω)

    Shaft 1 (B40) Shaft 2 (B90) Shaft 3 (B40) Shaft 4 (B50) Shaft 5 (B90) Shaft 6 (H2O)

    Shaft 7 (B30) Shaft 8 (B40) Shaft 9 (B50) Shaft 11 (P60) Shaft 12 (P60) Shaft 13 (B30)

    Shaft 14 (B30) Shaft 15 (B50) Shaft 16 (P85) Shaft 17 (P85) Shaft 18 (H2O) Shaft 19

    Shaft 20 Shaft 21 (B40) Shaft 22 Shaft 23 (H2O) Shaft 24 (B40)

  • 352

    Figure 5.8: Data banding

    The initial assumption that these high resistance, zero potential points were statistical scatter was

    disproven when the sample data distribution for all points over 100 Ω was plotted against the

    normal standard distribution curve for the same data range (Figure 5.9). The normal distribution

    curve, created from a set of 300 randomly generated numbers, shows a 5% occurrence of points

    within the -5mV to 5mV range.

    0

    20

    40

    60

    80

    100

    120

    140

    0.1 1 10 100 1000 10000

    |Po

    ten

    tia

    l| (

    mV

    )

    Resistance (Ω)

    Continuous

    Discontinuous

    Questionable

  • 353

    The sample data distribution shows that the actual percentage of points in that range is 10%

    (Figure 5.10). This is twice the expected distribution meaning that there is a 50% chance that the

    readings are valid and constitute connectivity and a 50% chance that the readings are erroneous

    scatter and signify a discontinuous system. Without both the mutual potential and mutual

    resistance data it would be difficult to accurately diagnose the system. For that reason, the

    present findings support the use of both mutual potential and mutual AC resistance when

    establishing electrical continuity.

    Figure 5.9: Potential distribution

    Figure 5.10: Statistical importance

  • 354

    5.5 Multi Point Surface Mapping

    Surface potential measurements are a strong indicator of active corrosion within a reinforced

    concrete structure. This is performed by measuring the relative voltage potential between the

    reinforcing steel and a copper-copper sulfate electrode in contact with the concrete surface

    several inches away from the reinforcing steel.

    Note: this process was discussed in Chapter 3 for previously cast specimens from other studies.

    In this section, new data is presented for newly cast specimens.

    The surface potential of each shaft specimen was mapped evenly over the surface using a

    prescribed grid. A grid template was made out of single piece of 21-inch by 27-inch rubberized

    plastic sheeting. A sharpened 2-inch diameter pipe was used to punch holes through the plastic

    (Figure 5.11) in rows with a 3-inch center-to-center spacing in both directions (Figure 5.12). This

    resulted in 80 measurement locations for each shaft. Surface potential testing was then conducted

    per ASTM C876-09: Standard Test Method for Corrosion Potentials of Uncoated Reinforcing

    Steel in Concrete, using a copper-copper sulfate reference electrode and a standard multi-meter.

    Figure 5.11 Template Preparation Figure 5.12 Completed Template

    The saturated copper-copper sulfate reference electrode was selected because it provides a stable

    and reproducible potential over a temperature range of 32º to 120ºF. A wet sponge was used to

    establish an electrical junction at the concrete surface by means of a low electrical resistance

    liquid bridge between the concrete surface and the porous tip of the reference electrode. The

  • 355

    sponge was wrapped around the tip of the reference electrode and secured with a rubber band to

    ensure continuous electrical contact.

    Having previously established secure electrical connection to the reinforcing steel, an alligator

    clip was used to connect the steel to the positive port on the multi-meter. Similarly, the negative

    or COM port was attached to the cap of the reference electrode (Figure 5.13).

    Figure 5.13 Surface Potential Mapping Wiring Diagram

    Figure 5.14 Surface potential testing

  • 356

    Prior to commencing testing, all shafts were saturated for 24 hours or until such time as a test

    measurement of corrosion potential revealed no change or fluctuation. Once saturated,

    measurements were taken systematically across the 80 grid positions with the multi-meter set to

    the ± 2000 millivolt range. The readings were recorded to the nearest millivolt.

    5.5.1 Results

    The data from Shaft 1 is shown in Table 5.1 as an example; the complete data sets for all shafts

    are included in Appendix A.

    A potential difference of zero signifies that no voltage is lost between the reference electrode and

    the reinforcement. This is commonly used as an indicator of corrosion potential. For the purpose

    of this testing method, corrosion potential was used as a diagnostic indicator of concrete quality.

    Using the copper-copper sulfate potential data, the 80 values for each shaft were plotted on a

    standard distribution (Figure 5.15) using a rank and percentage analysis. The median (potential at

    50% ranking) or the E50 value was taken as the single point representative of each shaft for

    comparative plotting purposes. This is the preferred industry approach for such evaluations.

    Table 5.1: Sample surface potential data collected from shaft 1 (all shaft data in Appendix A).

    Circumferential

    position (in)

    Vertical Position (in)

    Bottom to Top

    0 3 6 9 12 15 18 21

    0 -266 -289 -333 -337 -313 -298 -296 -289

    3 -279 -292 -316 -317 -311 -301 -300 -293

    6 -290 -302 -312 -312 -308 -306 -307 -303

    9 -290 -308 -315 -312 -309 -310 -308 -307

    12 -307 -316 -315 -318 -317 -314 -311 -302

    15 -309 -317 -319 -325 -324 -322 -320 -311

    18 -314 -323 -324 -332 -330 -328 -327 -320

    21 -323 -330 -330 -338 -338 -342 -331 -322

    24 -327 -330 -338 -344 -345 -348 -337 -329

    27 -328 -333 -338 -344 -347 -349 -338 -337

  • 357

    Figure 5.15 Surface potential mapping data distribution

    E50 potential data for all shafts ranged from -623mV to -155mV with a standard deviation of

    91mV. A total of 25% of the test shafts had an E50 potential below -350mV, and all save one of

    that 25% were constructed using mineral slurry (Table 5.2), the exception being a 46-second

    polymer slurry for a self consolidating concrete sample shaft. All of the data was graphed

    topographically using three-dimensional mapping software. Using a color coding system and

    standardized contour spacing, the topographic surface maps illustrate the corrosion potential of

    each shaft. Lighter colors denote low corrosion probability; darker colors high (Figure 5.16-

    5.49). The shafts are numbered consecutively by date of construction. Additionally, the slurry

    type and marsh funnel viscosity is included as a parenthetical wherein P indicated polymer, B

    indicates bentonite and A indicates attapulgite mineral slurry.

    Table 5.2 Comparison of all 36 shaft specimen E50 values.

    Shaft # Slurry Mix E50 (mV) Shaft # Slurry Mix E50 (mV)

    1 B44 4KDS -317 20 P130 4KDS -242

    2 B105 4KDS -449 21 B40 4KDS -508

    3 B40 4KDS -373 22 water 4KDS -250

    4 B55 4KDS -443 23 water SCC -258

    5 B90 4KDS -447 24 B40 SCC -425

    6 Water 4KDS -155 25 A33 SCC -415

    7 B30 4KDS -372 26 Water SCC -326.5

    8 B40 4KDS -225 27 B41 SCC -246.5

    9 B50 4KDS -383 28 P59 SCC -268.5

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    Dis

    trib

    uti

    on

    (%

    )

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 1

    50th Percentile

  • 358

    Shaft # Slurry Mix E50 (mV) Shaft # Slurry Mix E50 (mV)

    11 P65 4KDS -285 29 P46 SCC -410.5

    12 P66 4KDS -190 30 B30 SCC -410

    13 B30 4KDS -289 31 P98 4KDS -303.5

    14 B30 4KDS -282 32 Water 4KDS -279

    15 B56 4KDS -335 33 B39 4KDS -221

    16 P85 4KDS -279 34 A39 4KDS -267.5

    17 P85 4KDS -300 35 A200+ 4KDS -371.5

    18 Water 4KDS -293 36 P47 4KDS -279

    19 P60 4KDS -243

    Figure 5.16: Surface potential map Shaft 1

    Figure 5.17: Surface potential map Shaft 2

  • 359

    Figure 5.18: Surface potential map Shaft 3

    Figure 5.19: Surface potential map Shaft 4

    Figure 5.20: Surface potential map Shaft 5

  • 360

    Figure 5.21: Surface potential map Shaft 6

    Figure 5.22: Surface potential map Shaft 7

    Figure 5.23: Surface potential map Shaft 8

  • 361

    Figure 5.24: Surface potential map Shaft 9

    Figure 5.25: Surface potential map Shaft 11

  • 362

    Figure 5.26: Surface potential map Shaft 12

    Figure 5.27: Surface potential map Shaft 14

    Figure 5.28: Surface potential map Shaft 15

  • 363

    Figure 5.29: Surface potential map Shaft 16

    Figure 5.30: Surface potential map Shaft 17

    Figure 5.31: Surface potential map Shaft 18

  • 364

    Figure 5.32: Surface potential map Shaft 19

    Figure 5.33: Surface potential map Shaft 20

    Figure 5.34: Surface potential map Shaft 21

  • 365

    Figure 5.35: Surface potential map Shaft 22

    Figure 5.36: Surface potential map Shaft 23

    Figure 5.37: Surface potential map Shaft 24

  • 366

    Figure 5.38: Surface potential map Shaft 25

    Figure 5.39: Surface potential map Shaft 26

    Figure 5.40: Surface potential map Shaft 27

  • 367

    Figure 5.41: Surface potential map Shaft 28

    Figure 5.42: Surface potential map Shaft 29

    Figure 5.43: Surface potential map Shaft 30

  • 368

    Figure 5.44: Surface potential map Shaft 31

    Figure 5.45: Surface potential map Shaft 32

  • 369

    Figure 5.46: Surface potential map Shaft 33

    Figure 5.47: Surface potential map Shaft 34

    Figure 5.48: Surface potential map Shaft 35 (blank spots were not testable)

  • 370

    Figure 5.49: Surface potential map Shaft 36

    5.6 Open Cell Potential Testing

    The following testing procedure was developed in order to approximate long term corrosion

    potential in a laboratory setting. Acrylic tanks were affixed to the surface of the shafts and

    equipped with temperature sensors and titanium reference electrodes. The tanks were first filled

    with clean water and then a chloride solution and the potential difference was monitored for a

    total of 14 days.

    Tanks were built out of 12-inch long sections of 8-inch diameter clear acrylic pipe. A rotary

    machine was used to cope one end of each pipe section This allowed the tanks to sit flush on the

    surface of the shaft (Figure 5.50). The tanks were sealed to the shafts using architectural grade

    silicon and allowed to cure for 24 hours prior to charging the system with water (Figure 5.51).

    Surface deterioration on several of the shafts prevented a watertight seal between the tank and

    the concrete resulting in their exclusion from this portion of the testing protocol. The filled tanks

    were left to sit for a minimum of 2 days prior to initial data collection to allow for surface

    Figure 5.50 Milling end of tank (left)tank fit on shaft surface (right)

  • 371

    saturation.

    Figure 5.51 Tanks installed on shafts

    Titanium reference electrodes were constructed for continuous potential difference data

    collection. Sections approximately four inches long were cut from a rod of activated titanium.

    The ends were then filed to reveal bare metal and create a level surface. Taking care to protect

    the surface coating, the rods were wrapped in cardboard and clamped into a lathe for drilling

    (Figure 5.52). A hole approximately ¼-inch deep was drilled into one end of each rod (Figure

    5.53) using a 1/16th inch cobalt-coated drill bit.

    Figure 5.52 Drilled titanium rod Figure 5.53 Drilled out titanium rod

  • 372

    Chromium-nickel alloy wire with a Teflon coated insulation was used to connect the electrode to

    the data logger (Figure 5.54). The properties of the metal in the wire and the metal in the

    electrode necessitated the use of a mechanical connection. The wire coating was stripped back to

    reveal ½ inch of bare metal (Figure 5.55). The wire was then folded back on itself and inserted

    into the drilled end of the titanium rod and the connection was crimped using pliers to insure

    connection stability.

    Figure 5.54 Connection wire Figure 5.55 Wire pre installation

    The reference electrodes were submerged in the tanks and suspended one inch from the shaft

    surface. Care was taken to ensure that the electrodes were parallel and in line with the encased

    vertical reinforcement. Shaft potential readings were taken with the positive lead attached to the

    interconnected exposed reinforcement and the negative lead attached to the titanium electrode as

    previously described. A twisted-wire-pair thermocouple was also placed in each tank, taking care

    to separate the two sets of wires. All exposed ends were coated to prevent metallic deterioration

    (Figure 5.56). The electrode and the thermocouple wire for each shaft were attached to a

    Campbell Scientific CR1000 data collection system (Figure 5.57).

  • 373

    Figure 5.56 Testing tank

    Figure 5.57 Open cell testing wiring diagram

    Each tank was calibrated daily using a copper-copper sulfate reference electrode. This was

    accomplished by attaching a voltmeter to the titanium reference electrode and the calibrating

    copper-copper sulfate electrode. The value was recorded along with the time of measurement.

  • 374

    After seven days of continuous testing, the fresh water was exchanged for salt water. Salt water

    was simulated by adding aquarium salt to fresh water until the specific gravity exceeded 1.028 as

    measured by a hydrometer (Figure 5.58). Testing and daily calibration continued for seven days

    after the introduction of salts.

    Figure 5.58 Hydrometer used to test specific gravity

    5.6.1 Testing Details

    This test has been conducted three times to date:

    Test one served as the pilot study. Over a three-week period in July of 2014, data was collected

    from two shafts (Table 5.4). The tanks were placed on visible surface creases and calibration

    data was collected inside each tank nine times at sporadic intervals.

    Table 5.4 Test one details

    Test One

    Test

    Duration

    7/2/14 7/25/14

    Shafts

    Tested

    Shaft 7 (B30)

    Shaft 11 (P65)

  • 375

    Test two, conducted in December of 2016, shows data from nine shafts (Table 5.5). The tanks

    were placed between visible creases, and calibration data was taken daily outside of each tank on

    the surface of the shaft.

    Table 5.5 Test two details

    Test Two

    Test

    Duration

    12/12/16 12/21/16

    Shafts

    Tested

    Shaft 1 (B44)

    Shaft 6 (Water)

    Shaft 7 (B30)

    Shaft 8 (B40)

    Shaft 11 (P65)

    Shaft 16 (P85

    Shaft 17 (P85)

    Shaft 19 (P63)

    Shaft 20 (P121)

    Test three, conducted in November of 2017, shows data from six shafts (Table 5.6). The tanks

    were placed on visible creases and calibration data was collected inside each tank daily.

    Table 5.6 Test three details

    Test Three

    Test

    Duration

    11/17/17 12/1/17

    Shafts

    Tested

    Shaft 3 (B40)

    Shaft 13 (B30)

    Shaft 16 (P85)

    Shaft 18 (Water)

    Shaft 20 (P121)

    Shaft 32 (Water)

    5.6.2 Results

    For each test, the raw potential readings between the rebar and the titanium reference electrode

    were recorded and graphed as a function of time (Figures 5.59-5.61). The red line indicates the

    point when chlorides were introduced to the system. Additionally, the daily copper-copper

    sulfate calibration readings were graphed over time (Tables 5.7-5.9 and Figures 5.62-5.64).

  • 376

    Figure 5.59: Test one raw data

    -700

    -600

    -500

    -400

    -300

    -200

    -100

    0

    100

    200

    300

    6/27/14 7/2/14 7/7/14 7/12/14 7/17/14 7/22/14 7/27/14 8/1/14

    Ti P

    ote

    nti

    al (

    mV

    )

    Shaft 7 Shaft 11

    -700

    -500

    -300

    -100

    100

    300

    12/12/16 12/14/16 12/16/16 12/18/16 12/20/16 12/22/16

    Po

    tenti

    al (

    mV

    )

    Date

    Shaft 22 Water Shaft 1 B40 Shaft 8 B40 Shaft 7 B30

    Shaft 11 P60 Shaft 6 Water Shaft 17 P85 Shaft 19 P60

    Shaft 20 P130 Shaft 18 Water Shaft 14 B30 Shaft 16 P85

  • 377

    Figure 5.60: Test two raw data

    Figure 5.61: Test three raw data

    Table 5.7: Test one calibration data

    Date Shaft 7

    Shaft

    11

    7/1/2014 32.2 4

    7/2/2014 7.3 8.8

    7/8/2014 19.3 41

    7/8/2014 58.6 43.9

    7/8/2014 -5.8 42.2

    7/9/2014 -28 -271

    7/10/2014 -27.6 -237

    7/11/2014 -36.7 -284

    -800

    -600

    -400

    -200

    0

    200

    400

    600

    800

    11/15 11/17 11/19 11/21 11/23 11/25 11/27 11/29 12/1 12/3

    Shaft 3 Shaft 13 Shaft 16 Shaft 18 Shaft 20 Shaft 32

  • 378

    7/15/2014 -14.3 -301

    7/22/2014 -24.3 -309

    7/25/2014 3.8 -322

    Figure 5.62: Test one calibration lines

    Table 5.8: Test two calibration data

    Shaft #

    Date 22 23 1 8 7 11 6 17 19 20 18 16

    12/12/2016 86 57 -234 34 71 84 76 37 70

    -

    122 73 83

    12/13/2016 71 45 -238 8 35 58 64 18 46

    -

    122 55 58

    12/14/2016 78 53 -222 72 48 65 73 3 51

    -

    110 53 65

    12/15/2016 67 20 -225 63 59 76 75 -23 47 -76 115 77

    12/16/2016 63 35 -218 54 32 56 64 -29 48 -99 54 57

    12/16/2016 63 35 -218 54 32 -95 64 -29 48 -99 54 57

    12/17/2016 208

    14

    5 -274

    -

    109 -46 -108 -143

    -

    169 -30 -99 100 -117

    -350

    -300

    -250

    -200

    -150

    -100

    -50

    0

    50

    100

    6/30 7/5 7/10 7/15 7/20 7/25 7/30

    Cu/C

    uS

    O₄

    (mV

    )

    Shaft 7 Shaft 11

  • 379

    12/18/2016 152

    10

    9 -254

    -

    130 -70 -135 -160

    -

    185 -75

    -

    109

    -

    164 -139

    12/19/2016 146

    10

    7 -258

    -

    146 -98 -173 -163

    -

    210 -89

    -

    123

    -

    181 -152

    12/20/2016 142 72 -258

    -

    148 -110 -182 -165

    -

    224

    -

    122

    -

    129

    -

    189 -159

    12/21/2016 1

    10

    3 -254

    -

    148 -115 -175 -160

    -

    231

    -

    122

    -

    123

    -

    189 -150

    Figure 5.63: Test two calibration lines

    Table 5.9 Test three calibration data

    Date

    Shaft

    13

    Shaft

    32

    Shaft

    16

    Shaft

    18 Shaft 3

    Shaft

    20

    17-Nov -118 -185 -238 57 70 46

    18-Nov -191 -206 -405 60 55 62

    19-Nov -180 -194 -257 -33 -238 47

    -300

    -250

    -200

    -150

    -100

    -50

    0

    50

    100

    150

    12-Dec 13-Dec 14-Dec 15-Dec 16-Dec 17-Dec 18-Dec 19-Dec 20-Dec 21-Dec 22-Dec

    Cu/C

    uS

    O₄

    (mV

    )

    Shaft 1 Shaft 8 Shaft 7 Shaft 11 Shaft 6

    Shaft 17 Shaft 19 Shaft 20 Shaft 16

  • 380

    20-Nov -146 -176 -213 32 -206 69

    21-Nov -217 -263 -289 41 -253 63

    22-Nov -222 -247 -250 191 -242 56

    23-Nov -208 -230 -241 49 -237 60

    24-Nov -169 -212 -284 44 36 52

    24-Nov 12 -149 -71 89 -191 65

    25-Nov -366 -150 -517 -107 -27 -178

    26-Nov -508 -397 -469 -264 -219 -154

    27-Nov -529 -417 -503 -240 -533 -239

    28-Nov -502 -400 -511 -199 -584 -212

    29-Nov -457 -406 -503 -191 -587 -158

    30-Nov -596 -502 -617 -380 -604 -169

    1-Dec -522 -372 -543 -223 -548 -216

    Figure 5.64 Test three calibration lines

    Linear interpolation was used in order to apply the daily copper-copper sulfate readings to the

    more frequent titanium electrode readings:

    -700

    -600

    -500

    -400

    -300

    -200

    -100

    0

    100

    200

    300

    15-Nov 17-Nov 19-Nov 21-Nov 23-Nov 25-Nov 27-Nov 29-Nov 1-Dec 3-Dec

    Cu/C

    uS

    O₄

    (mV

    )

    Shaft 3 Shaft 13 Shaft 16 Shaft 18 Shaft 20 Shaft 32

  • 381

    c

    𝑅 = 𝑅𝑖 + [𝑅𝑓 − 𝑅𝑖] ×𝑡 − 𝑡𝑖𝑡𝑓 − 𝑡𝑖

    Wherein:

    R = current reading

    Ri = initial reading

    Rf = final reading

    t = current time

    ti = initial time

    tf = final time

    After all of the copper-copper sulfate readings were interpolated, those values were added to the

    corresponding reading from the titanium reference electrode, resulting in the corrected potential

    reading.

    P(t) = M(t) + R’c (t)

    P(t) is the corrected potential reading

    M(t) titanium reference electrode reading

    R’c(ti) is the Cu/CuSO4 reading at the time in question, mV

    The resulting corrected graphs show distinct changes in potential at the point of chloride

    introduction (Figures 5.65-5.67).

    -700.00

    -600.00

    -500.00

    -400.00

    -300.00

    -200.00

    -100.00

    0.00

    100.00

    200.00

    7/1/14 7/6/14 7/11/14 7/16/14 7/21/14 7/26/14 7/31/14

    Po

    tenti

    al (

    mV

    )

    Shaft 7 Shaft 11

    Add Cl- Solution

  • 382

    Figure5.65: Test one corrected data

    Figure 5.66: Test two corrected data

    Figure 5.67: Test three corrected data

    -700

    -600

    -500

    -400

    -300

    -200

    -100

    0

    100

    200

    300

    12/12/16 12/14/16 12/16/16 12/18/16 12/20/16 12/22/16

    Po

    tenti

    al (

    mV

    )

    Shaft 22 Water Shaft 1 B40 Shaft 8 B40 Shaft 7 B30

    Shaft 11 P60 Shaft 6 Water Shaft 17 P85 Shaft 19 P60

    Shaft 20 P130 Shaft 18 Water Shaft 14 B30 Shaft 16 P85

    -800

    -600

    -400

    -200

    0

    200

    400

    600

    800

    11/15/17 11/17/17 11/19/17 11/21/17 11/23/17 11/25/17 11/27/17 11/29/17 12/1/17 12/3/17

    Po

    ten

    tial

    (m

    V)

    Shaft 13 (B30) Shaft 32 (W) Shaft 16 (P85)

    Shaft 18 (W) Shaft 3 (B40) Shaft 20 (P130)

    Add Cl Solution

    Add Cl Solution

  • 383

    Each of these tests reveals a similar trend wherein the potential becomes more negative after the

    introduction of chlorides to the system. These trends are more pronounced in test one and test

    three where the tanks were placed directly on top of the visible creases in the shaft surface. This

    further reinforces the assertion that the creases are providing direct pathways to the encased

    reinforcement system. Furthermore, the drop in potential is more pronounced in samples with a

    higher level of trapped slurry induced surface degradation leading to the conclusion that surface

    degradation is a valid indicator of probable corrosion.

    5.7 Task Summary and Discussion

    The goal of this task was to identify the effects of slurry type on the electrochemical properties

    of drilled shafts. The premise of this approach was that the issues with concrete flow and surface

    degradation addressed in Chapter 3 were negating the corrosion life span and initiation time

    calculations customarily applied to reinforced concrete structures. Electrochemical testing

    methods were implemented to reveal any indication of premature corrosion in the reinforcement

    system.

    Initially all preexisting shafts (1-24) were assessed for electrical continuity. This was

    accomplished by testing both mutual potential and mutual resistance between each vertical piece

    of reinforcing steel. When graphed, the data showed horizontal banding along the x axis between

    0 and 5 mV and vertical banding just past 100 W. The area where these bands cross is a

    statistically significant zone wherein the use of a single method of continuity assessment is

    inconclusive.

    A copper-copper sulfate reference electrode was used to collect potential difference data on an

    eighty-point grid in order to map changes in potential across a portion of the surface of each

    shaft. The corrosion potential surface mapping data was analyzed for each specimen individually.

    Statistical methods were used to plot a distribution curve and determine the 50th

    percentile

    corrosion potential (E50) for every shaft. The E50 values vs slurry viscosity are shown in

    Figure 5.69.

  • 384

    Figure 5.68 Viscosity vs median potential

    ASTM C876 states that a potential reading below -350mV ( m o r e n e g a t i v e ) indicates a

    90% chance of corrosion, so it is generally used as the threshold for corrosion activity. When

    the 50th

    percentile corrosion potential is plotted against the slurry viscosity, distinct divisions

    become apparent (Figure 5.69); eight of the 14 shafts cast with mineral slurry fell below the

    threshold of -350mV. This is a clear indicator that shafts cast using bentonite slurry are more

    prone to corrosion than shafts cast using polymer. With a single exception, Polymer shafts

    showed no indications of corrosion. Recall that the surface potential measurements were taken

    with a freshwater wetted surface and where no chlorides had been introduced. It is likely that in

    the presence of chlorides more of the shafts would have crossed the -350mV threshold.

    Tanks were attached to the surfaces of select shafts in order to test the open-cell potential. Three

    separate sets of tests were performed. At the midway point in each set the water in the tanks was

    replaced with an electrolyte solution. The tanks that were placed over visible creases in the shaft

    surface showed a nearly immediate drop in potential after the electrolyte was introduced,

    indicating a direct path to the reinforcing steel. The most extreme reactions came from the shafts

    with the worst surface conditions, further supporting the assertion that surface degradation can be

    an indicator of corrosion potential in a reinforced concrete system.

    In summary, there are several observations that can be made from this task:

    When establishing electrical continuity, both potential and resistance measurements must be

    taken.

    Shafts constructed using polymer slurry or water showed low propensity for corrosion

    Shafts constructed using mineral slurry show a higher propensity for corrosion as a rule

    Surface creasing and degradation is indicative of a cover region that does not insulate reinforcing

    steel

    It should be noted here that this comes down to the difference between capillary transport due to

    degradation in the concrete material and accelerated surface transport due to creasing. Increased

    0

    20

    40

    60

    80

    100

    120

    140

    -700-600-500-400-300-200-1000

    Vis

    cost

    iy (

    sec)

    E50 (mV) Bentonite Polymer Water Attapulgite

    Corrosion potential

    threshold

  • 385

    concrete durability may be a solution to the former whereas additional information in regards to

    concrete rheology is needed to improve upon the latter.

    5.8 Continued Efforts

    Electrochemical testing has been completed for the 24 pre-existing shaft specimens. Surface

    potential measurements have been completed on 12 newly cast shafts. These readings will serve

    as a baseline and the tests will be repeated periodically to monitor any changes in potential that

    may develop as the shafts age. Six more SCC shafts were cast during the first week in December

    using a different concrete supplier, and 12 more SCC shafts are planned for construction later

    this winter. All of these shafts will be tested electrochemically to bolster the data with the

    expectation that the noted trends will be confirmed.

    Quotes from commercial diving / construction firms are being sought for the removal of casing

    on several bentonite, attapulgite, and water-cast shaft-supported bridges.

  • 386

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    APPENDIX A

    SURFACE POTENTIAL MAPPING RAW DATA & STATISTICAL DISTRIBUTION

    Table A-1: Shaft 1 Surface Potential Mapping Raw Data (mV)

    0"` 3" 6" 9" 12" 15" 18" 21"

    0" -266 -289 -333 -337 -313 -298 -296 -289

    3" -279 -292 -316 -317 -311 -301 -300 -293

    6" -290 -302 -312 -312 -308 -306 -307 -303

    http://www.theconcreteportal.com/rheology.htmlhttp://www.selfconsolidatingconcrete.org/

  • 9" -290 -308 -315 -312 -309 -310 -308 -307

    12" -307 -316 -315 -318 -317 -314 -311 -302

    15" -309 -317 -319 -325 -324 -322 -320 -311

    18" -314 -323 -324 -332 -330 -328 -327 -320

    21" -323 -330 -330 -338 -338 -342 -331 -322

    24" -327 -330 -338 -344 -345 -348 -337 -329

    27" -328 -333 -338 -344 -347 -349 -338 -337

    Figure A-1: Shaft 1 Surface Potential Mapping Data Distribution

    Table A-2: Shaft 2 Surface Potential Mapping Raw Data (mV)

    0” 3” 6” 9” 12” 15” 18” 21”

    0” -384 -387 -406 -421 -434 -438 -431 -411

    3” -402 -398 -416 -431 -454 -456 -446 -434

    6” -400 -403 -420 -442 -460 -464 -461 -454

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 1

  • 9” -392 -408 -430 -452 -466 -474 -472 -465

    12” -402 -417 -447 -463 -476 -470 -462 -459

    15” -402 -416 -445 -463 -474 -478 -463 -462

    18” -395 -410 -460 -468 -482 -477 -458 -449

    21” -396 -404 -466 -483 -492 -485 -469 -449

    24” -389 -400 -444 -470 -481 -472 -461 -440

    27” -390 -398 -428 -467 -472 -472 -461 -447

    Figure A-2: Shaft 2 Surface Potential Mapping Data Distribution

    Table A-3: Shaft 3 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -372 -382 -389 -390 -396 -396 -384 -379

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 2

  • 3" -373 -378 -381 -382 -393 -386 -381 -378

    6" -374 -374 -377 -377 -379 -380 -373 -379

    9" -376 -368 -372 -359 -361 -360 -363 -379

    12" -370 -364 -369 -352 -351 -353 -351 -369

    15" -374 -366 -360 -350 -349 -353 -346 -361

    18" -377 -360 -364 -352 -356 -355 -355 -354

    21" -379 -361 -380 -359 -364 -367 -370 -378

    24" -379 -367 -378 -368 -368 -380 -382 -383

    27" -373 -367 -374 -376 -376 -378 -381 -388

    Figure A-3: Shaft 3 Surface Potential Mapping Data Distribution

    Table A-4: Shaft 4 Surface Potential Mapping Raw Data (mV)

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 3

  • 0" 3" 6" 9" 12" 15" 18" 21"

    0" -411 -441 -447 -462 -472 -454 -437 -425

    3" -443 -453 -463 -472 -453 -433 -423

    6" -442 -444 -447 -467 -473 -459 -434 -419

    9" -429 -434 -439 -463 -474 -458 -427 -415

    12" -427 -435 -458 -470 -458 -433 -409

    15" -429 -435 -454 -461 -450 -437 -414

    18" -425 -426 -444 -458 -473 -459 -445 -433

    21" -413 -425 -437 -470 -471 -461 -451 -439

    24" -420 -422 -430 -452 -466 -458 -449 -439

    27" -418 -417 -423 -449 -459 -463 -451 -443

    Figure A-4: Shaft 4 Surface Potential Mapping Data Distribution

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 4

  • Table A-5: Shaft 5 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -400 -408 -425 -447 -469 -482 -484 -475

    3" -408 -413 -428 -456 -476 -489 -494 -489

    6" -413 -416 -432 -460 -473 -482 -492 -485

    9" -413 -415 -433 -457 -466 -467 -470 -464

    12" -407 -402 -422 -450 -459 -465 -463 -455

    15" -390 -402 -416 -440 -441 -445 -459 -449

    18" -394 -402 -413 -433 -433 -435 -437 -426

    21" -392 -407 -416 -441 -448 -450 -457 -450

    24" -401 -416 -435 -452 -457 -469 -469 -469

    27" -412 -420 -432 -450 -460 -465 -469 -457

    Figure A-5: Shaft 5 Surface Potential Mapping Data Distribution

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 5

  • Table A-6: Shaft 6 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -160 -148 -144 -139 -129 -131 -141 -155

    3" -168 -157 -143 -135 -130 -131 -141 -153

    6" -170 -163 -158 -147 -136 -138 -138 -142

    9" -168 -161 -153 -140 -128 -127 -140 -144

    12" -169 -161 -155 -145 -134 -129 -141 -146

    15" -170 -164 -157 -130 -142 -139 -143 -152

    18" -172 -167 -163 -136 -148 -149 -150 -152

    21" -174 -172 -166 -159 -155 -156 -156 -153

    24" -174 -174 -167 -168 -156 -159 -159 -160

    27" -176 -174 -161 -165 -159 -161 -161 -157

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 6

  • Figure A-6: Shaft 6 Surface Potential Mapping Data Distribution

    Table A-7: Shaft 7 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -331 -331 -329 -338 -344 -350 -361 -361

    3" -339 -340 -339 -343 -345 -354 -372 -382

    6" -340 -346 -345 -348 -351 -366 -386 -402

    9" -352 -352 -354 -356 -361 -375 -398 -409

    12" -357 -358 -362 -364 -380 -398 -419 -422

    15" -354 -363 -373 -376 -398 -421 -444 -437

    18" -365 -364 -374 -383 -399 -430 -468 -454

    21" -364 -368 -377 -393 -400 -436 -462 -475

    24" -366 -369 -378 -395 -416 -436 -459 -466

    27" -364 -363 -378 -393 -415 -442 -458 -480

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 7

  • Figure A-7: Shaft 7 Surface Potential Mapping Data Distribution

    Table A-8: Shaft 8 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -239 -243 -234 -233 -215 -211 -210 -215

    3" -233 -241 -237 -236 -218 -213 -220 -216

    6" -223 -221 -237 -235 -222 -213 -216 -209

    9" -226 -232 -235 -225 -213 -209 -208 -209

    12" -234 -235 -231 -227 -218 -217 -214 -212

    15" -255 -247 -239 -234 -226 -227 -229 -225

    18" -251 -238 -232 -227 -223 -212 -227 -219

    21" -245 -242 -236 -233 -223 -216 -215 -216

    24" -243 -238 -234 -230 -215 -214 -218 -223

    27" -240 -239 -233 -224 -219 -211 -209 -216

  • Figure A-8: Shaft 8 Surface Potential Mapping Data Distribution

    Table A-9: Shaft 9 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -362 -364 -372 -381 -391 -410 -423 -424

    3" -356 -364 -368 -373 -385 -402 -420 -418

    6" -359 -359 -367 -383 -393 -413 -427 -430

    9" -362 -367 -370 -384 -397 -416 -427 -423

    12" -363 -366 -373 -382 -400 -415 -425 -419

    15" -372 -371 -375 -385 -399 -416 -421 -417

    18" -371 -372 -375 -379 -392 -403 -409 -410

    21" -365 -366 -367 -373 -392 -392 -396 -404

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 8

  • 24" -363 -365 -368 -375 -387 -387 -390 -396

    27" -357 -356 -366 -369 -383 -383 -387 -389

    Figure A-9: Shaft 9 Surface Potential Mapping Data Distribution

    Table A-10: Shaft 11 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -263 -271 -268 -267 -266 -265 -266 -258

    3" -264 -273 -272 -274 -272 -274 -271 -260

    6" -269 -278 -280 -281 -280 -287 -283 -266

    9" -272 -282 -283 -287 -287 -291 -282 -269

    12" -273 -283 -287 -288 -287 -285 -280 -273

    15" -285 -295 -292 -295 -290 -290 -293 -274

    18" -289 -299 -298 -298 -293 -3030 -293 -271

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 9

  • 21" -297 -299 -296 -290 -287 -286 -287 -268

    24" -299 -312 -310 -308 -296 -297 -285 -278

    27" -305 -318 -322 -326 -291 -297 -289 -278

    Figure A-10: Shaft 11 Surface Potential Mapping Data Distribution

    Table A-11: Shaft 12 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -184 -188 -181 -176 -173 -174 -175 -170

    3" -195 -201 -189 -186 -181 -176 -175 -173

    6" -196 -201 -197 -191 -179 -172 -171 -168

    9" -204 -210 -200 -190 -179 -174 -170 -170

    12" -225 -217 -201 -193 -185 -179 -171 -170

    15" -220 -220 -206 -193 -191 -178 -176 -172

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 11

  • 18" -226 -222 -210 -206 -199 -187 -183 -187

    21" -220 -220 -213 -205 -195 -189 -185 -185

    24" -219 -221 -212 -204 -206 -186 -188 -181

    27" -218 -221 -212 -206 -199 -192 -186 -187

    Figure A-11: Shaft 12 Surface Potential Mapping Data Distribution

    Table A-12: Shaft 13 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -306 -300 -291 -288 -286 -285 -285 -289

    3" -305 -298 -291 -291 -290 -285 -286 -286

    6" -305 -299 -294 -289 -286 -284 -287 -285

    9" -303 -297 -293 -290 -285 -286 -285 -284

    12" -304 -299 -294 -291 -286 -285 -282 -282

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 12

  • 15" -307 -300 -296 -291 -285 -281 -280 -278

    18" -303 -302 -294 -290 -286 -283 -278 -278

    21" -297 -300 -300 -293 -288 -286 -283 -277

    24" -309 -302 -302 -293 -290 -288 -284 -280

    27" -310 -306 -301 -293 -289 -285 -283 -278

    Figure A-12: Shaft 13 Surface Potential Mapping Data Distribution

    Table A-13: Shaft 14 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -315 -300 -291 -282 -273 -248 -255 -263

    3" -307 -296 -292 -284 -235 -214 -230 -251

    6" -298 -299 -294 -289 -280 -243 -245 -268

    9" -300 -294 -291 -285 -280 -276 -253 -281

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 13

  • 12" -298 -293 -288 -285 -285 -280 -270 -268

    15" -302 -295 -288 -284 -281 -281 -275 -279

    18" -297 -293 -289 -284 -279 -277 -276 -278

    21" -300 -296 -291 -284 -278 -276 -276 -277

    24" -301 -297 -291 -283 -274 -262 -262 -270

    27" -304 -298 -294 -286 -277 -270 -267 -273

    Figure A-13: Shaft 14 Surface Potential Mapping Data Distribution

    Table A-14: Shaft 15 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0"

    -349 -350 -351 -340 -339 -347

    3"

    -339 -345 -340 -338 -338 -341

    6"

    -337 -336 -338 -340 -330 -335 -336

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 14

  • 9"

    -335 -334 -333 -327 -328 -331 -334

    12"

    -330 -330 -327 -327 -329 -334

    15"

    -332 -337 -331 -328 -330 -332 -336

    18"

    -337 -336 -335 -332 -331 -334 -337

    21"

    -344 -336 -335 -328 -327 -333 -339

    24"

    -349 -348 -341 -338 -332 -337 -341

    27" -362 -357 -344 -341 -337 -333 -336 -337

    Figure A-14: Shaft 15 Surface Potential Mapping Data Distribution

    Table A-15: Shaft 16 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -291 -278 -271 -266 -259 -256 -261 -251

    3" -298 -287 -279 -275 -269 -266 -271 -262

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 15

  • 6" -298 -294 -286 -278 -272 -271 -270 -264

    9" -292 -290 -283 -276 -277 -275 -271 -265

    12" -293 -290 -284 -274 -270 -273 -275 -269

    15" -292 -291 -289 -279 -278 -280 -278 -271

    18" -293 -288 -284 -278 -275 -278 -282 -275

    21" -292 -290 -285 -283 -279 -279 -284 -279

    24" -293 -290 -289 -283 -280 -283 -284 -283

    27" -289 -288 -286 -282 -280 -281 -286 -286

    Figure A-15: Shaft 16 Surface Potential Mapping Data Distribution

    Table A-16: Shaft 17 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -309 -303 -301 -301 -299 -305 -304 -304

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 16

  • 3" -306 -306 -303 -303 -302 -299 -303 -301

    6" -309 -307 -303 -308 -304 -299 -298 -300

    9" -306 -305 -302 -299 -293 -291 -294 -293

    12" -312 -310 -304 -298 -298 -292 -296 -290

    15" -319 -312 -304 -303 -298 -295 -295 -288

    18" -322 -311 -302 -296 -293 -290 -291 -288

    21" -319 -310 -301 -300 -292 -288 -287 -285

    24" -311 -310 -302 -297 -291 -287 -285 -286

    27" -305 -306 -297 -295 -290 -286 -285 -280

    Figure A-16: Shaft 17 Surface Potential Mapping Data Distribution

    Table A-17: Shaft 18 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 17

  • 0" -301 -304 -291 -291 -284 -295 -300 -302

    3" -300 -302 -290 -285 -282 -290 -299 -307

    6" -299 -303 -291 -284 -282 -292 -299 -306

    9" -294 -297 -290 -286 -284 -293 -299 -304

    12" -295 -293 -285 -281 -283 -290 -293 -300

    15" -296 -298 -285 -282 -285 -291 -291 -298

    18" -296 -296 -288 -283 -292 -293 -295 -292

    21" -301 -297 -291 -288 -294 -293 -297 -303

    24" -302 -298 -291 -290 -293 -287 -294 -297

    27" -299 -297 -291 -297 -302 -295 -297 -301

    Figure A-17: Shaft 18 Surface Potential Mapping Data Distribution

    Table A-18: Shaft 19 Surface Potential Mapping Raw Data (mV)

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 18

  • 0" 3" 6" 9" 12" 15" 18" 21"

    0" -243 -238 -234 -231 -230 -225 -229 -234

    3" -242 -242 -238 -234 -235 -230 -234 -240

    6" -246 -246 -238 -235 -231 -235 -241 -247

    9" -256 -250 -242 -234 -235 -238 -243 -255

    12" -258 -251 -241 -232 -230 -235 -248 -265

    15" -265 -259 -249 -243 -238 -240 -248 -259

    18" -263 -258 -247 -243 -240 -241 -245 -249

    21" -260 -258 -250 -243 -244 -243 -246 -245

    24" -268 -263 -255 -247 -244 -245 -248 -249

    27" -275 -263 -250 -242 -240 -239 -246 -252

    Figure A-18: Shaft 19 Surface Potential Mapping Data Distribution

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 19

  • Table A-19: Shaft 20 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -239 -234 -225 -231 -235 -238 -243 -235

    3" -222 -231 -231 -231 -236 -236 -244 -247

    6" -239 -236 -235 -238 -239 -239 -241 -237

    9" -233 -233 -240 -241 -242 -242 -238 -242

    12" -241 -242 -241 -241 -242 -242 -242 -245

    15" -248 -244 -248 -245 -239 -239 -242 -243

    18" -253 -250 -251 -245 -245 -245 -242 -241

    21" -253 -252 -251 -246 -246 -246 -254 -245

    24" -251 -253 -250 -247 -247 -247 -250 -250

    27" -259 -259 -254 -253 -255 -255 -251 -249

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 20

  • Figure A-19: Shaft 20 Surface Potential Mapping Data Distribution

    Table A-20: Shaft 21 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -491 -492 -495 -518 -552 -534 -548 -596

    3" -482 -489 -489 -493 -533 -524 -527 -500

    6" -480 -481 -489 -484 -508 -493 -509 -495

    9" -491 -489 -488 -497 -522 -493 -516 -502

    12" -485 -464 -488 -486 -511 -501 -522 -506

    15" -495 -494 -488 -492 -496 -494 -502 -511

    18" -500 -497 -508 -513 -536 -524 -529 -524

    21" -504 -505 -516 -528 -560 -538 -539 -516

    24" -508 -503 -508 -522 -540 -547 -556 -520

    27" -510 -510 -536 -538 -573 -558 -564 -542

  • Figure A-20: Shaft 21 Surface Potential Mapping Data Distribution

    Table A-21: Shaft 22 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -268 -264 -248 -244 -243 -236 -230 -243

    3" -265 -273 -255 -247 -237 -237 -241 -248

    6" -281 -277 -268 -254 -244 -240 -248 -251

    9" -272 -281 -276 -261 -255 -252 -248 -250

    12" -263 -272 -261 -246 -238 -238 -237 -239

    15" -257 -259 -248 -240 -236 -234 -241 -246

    18" -261 -260 -247 -237 -237 -239 -244 -252

    21" -277 -278 -262 -249 -245 -247 -256 -269

    24" -279 -279 -266 -249 -245 -251 -259 -277

    27" -280 -279 -265 -250 246 -249 -256 -268

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 21

  • Figure A-21: Shaft 22 Surface Potential Mapping Data Distribution

    Table A-22: Shaft 23 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -273 -265 -264 -260 -258 -262 -263 -269

    3" -276 -263 -263 -260 -258 -262 -268 -273

    6" -272 -262 -263 -257 -258 -263 -270 -260

    9" -271 -260 -261 -255 -255 -282 -269 -261

    12" -271 -259 -258 -254 -253 -283 -271 -260

    15" -266 -256 -251 -248 -252 -255 -264 -277

    18" -265 -255 -253 -247 -249 -250 -258 -269

    21" -261 -254 -246 -243 -242 -246 -250 -257

    24" -261 -252 -246 -241 -236 -241 -245 -254

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0 100 200 300

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing 22

  • 27" -261 -254 -246 -237 -233 -238 -243 -250

    Figure A-22: Shaft 23 Surface Potential Mapping Data Distribution

    Table A-23: Shaft 24 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -450 -453 -449 -452 -464 -446 -413 -393

    3" -439 -447 -443 -445 -456 -441 -410 -394

    6" -436 -443 -441 -430 -464 -443 -416 -400

    9" -433 -441 -442 -442 -469 -455 -425 -404

    12" -429 -436 -438 -444 -464 -454 -423 -404

    15" -423 -429 -437 -444 -465 -456 -424 -407

    18" -414 -421 -425 -434 -454 -433 -414 -403

    21" -411 -412 -421 -425 -437 -422 -398 -394

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    Shaft 23

  • 24" -410 -408 -408 -408 -412 -401 -390 -389

    27" -404 -399 -395 -405 -403 -395 -389 -384

    Figure A-23: Shaft 24 Surface Potential Mapping Data Distribution

    Table A-24: Shaft 25 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -398 -408 -409 -422 -421 -416 -412 -406

    3" -403 -409 -407 -422 -419 -421 -410 -410

    6" -413 -408 -406 -422 -418 -419 -410 -412

    9" -420 -410 -403 -423 -417 -419 -407 -410

    12" -431 -421 -415 -414 -416 -424 -411 -408

    15" -443 -430 -419 -414 -414 -418 -412 -406

    18" -455 -449 -435 -406 -415 -414 -418 -402

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSo4 Grid Testing Shaft 24

  • 21" -463 -451 -438 -407 -417 -419 -415 -404

    24" -472 -458 -438 -409 -418 -419 -413 -404

    27" -472 -456 -438 -411 -416 -415 -407 -409

    Figure A-24: Shaft 25 Surface Potential Mapping Data Distribution

    Table A-25: Shaft 26 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -341 -328 -308 -293 -292 -304 -335 -367

    3" -339 -326 -305 -291 -290 -304 -329 -359

    6" -344 -325 -305 -291 -288 -299 -325 -350

    9" -344 -330 -310 -291 -289 -299 -321 -349

    12" -351 -334 -314 -298 -292 -300 -322 -349

    15" -363 -346 -321 -307 -301 -308 -325 -353

    18" -373 -353 -335 -313 -305 -309 -329 -360

    -20%

    0%

    20%

    40%

    60%

    80%

    100%

    -600 -500 -400 -300 -200 -100 0

    %

    Potential Difference (mV)

    CuCuSO4 Grid Testing Shaft 25

  • 21" -383 -367 -342 -321 -310 -318 -335 -363

    24" -397 -379 -350 -336 -314 -319 -337 -369

    27" -403 -382 -355 -327 -315 -318 -341 -368

    Figure A-25: Shaft 26 Surface Potential Mapping Data Distribution

    Table A-26: Shaft 27 Surface Potential Mapping Raw Data (mV)

    0" 3" 6" 9" 12" 15" 18" 21"

    0" -222 -232 -237 -244 -254 -259 -265 -292

    3" -224 -232 -231 -241 -255 -263 -2